\begin{table}[H]
\centering
\caption{Bayes Factor for non statistically significant coefficients in our main indexes estimates} 
\label{tab:BayesFactor}
\begingroup\scriptsize
\begin{tabular}{p{0.6\textwidth}p{0.11\textwidth}p{0.11\textwidth}p{0.11\textwidth}}
  \hline
Index & SM Individual & SM Group & TV \\ 
  \hline
Index on TV show consumption & - & - & - \\ 
  Index of video of women's empowerment and support consumption & - & - & - \\ 
  Index of knowledge about treatment information & - & - & - \\ 
  Index of attitudes toward gender and marital equality & 0.122 & 0.094 & 0.078 \\ 
  Index of attitudes on sexual violence & 0.156 & 0.119 & 0.197 \\ 
  Index of donation to organizations supporting women & 0.232 & 0.237 & 0.131 \\ 
  Index of domestic and sexual violence experienced during COVID-19 & 0.23 & 0.063 & 0.072 \\ 
  Index of hypothetical use of online resources and contact with an organization when responding to domestic violence & - & - & - \\ 
  Index of hypothetical use of online resources and contact with an organization when responding to sexual violence & - & - & 0.093 \\ 
  Index of recent use of online resources and contact with an organization during COVID-19 & - & - & - \\ 
  Index of views on women's future outlook toward gender and marital equality & - & 0.128 & - \\ 
  Index of domestic and sexual violence experienced before COVID-19 & - & 0.118 & 0.113 \\ 
  Index of hypothetical talking to husband, family members, or reporting to authorities when responding to domestic violence & 0.095 & 0.093 & 0.103 \\ 
  Index of hypothetical talking to husband, family members, or reporting to authorities when responding to sexual violence & 0.124 & 0.165 & 0.104 \\ 
  Index of recent use of online resources and contact with an organization before COVID-19 & 0.068 & 0.086 & 0.073 \\ 
   \hline
\end{tabular}
\endgroup
\justify {\footnotesize \textit{Notes:} We compute the Bayes Factor for each non-statistically coefficient at the 95\% 
          level in our main indexes when including all variables selected by the LASSO model. 
          The Bayes Factor compares under the null hypothesis the corresponding treatment indicator equal to $0$
          and under the alternative hypotesis distinct than $0$.} \end{table}
 
